code: def testExecutor(self, mock_publisher):
      # verify whether original executors can run
      mock_publisher.return_value.publish_execution.return_value = {}
  
      io_utils.write_string_file(
          os.path.join(self.input_dir, "result.txt"), "test"
      )
  
      stub_component_launcher.StubComponentLauncher.initialize(
          test_data_dir=self.record_dir,
          test_component_ids=[self.component.id],
      )
  
      launcher = stub_component_launcher.StubComponentLauncher.create(
          component=self.component,
          pipeline_info=self.pipeline_info,
          driver_args=self.driver_args,
          metadata_connection=self.metadata_connection,
          beam_pipeline_args=[],
          additional_pipeline_args={},
      )
      self.assertEqual(
          launcher._component_info.component_type,  # pylint: disable=protected-access
          name_utils.get_full_name(test_utils._FakeComponent),
      )  # pylint: disable=protected-access)
      launcher.launch()
  
      output_path = self.component.outputs[self.output_key].get()[0].uri
      self.assertTrue(fileio.exists(output_path))
      contents = io_utils.read_string_file(output_path)
      self.assertEqual("test", contents)
  
file_path: tfx/tfx/experimental/pipeline_testing/stub_component_launcher_test.py
imports: import os
  from unittest import mock
  import tensorflow
  from tfx.dsl.io import fileio
  from tfx.experimental.pipeline_testing import stub_component_launcher
  from tfx.orchestration import data_types
  from tfx.orchestration import metadata
  from tfx.orchestration import publisher
  from tfx.orchestration.launcher import test_utils
  from tfx.types import channel_utils
  from tfx.utils import io_utils
  from tfx.utils import name_utils
  from ml_metadata.proto import metadata_store_pb2
label_desc: Use image node_id 3 for calling the StubComponentLauncherTest obj's underlying member method code with example usage: obj.testExecutor(mock_publisher) without return types